Ahmed Farid Ibrahim

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Artificial Intelligence

Top Venues

Computational intelligence and neuroscience

This page only lists publications with an associated author ORCID identifier.

Publications

Said Hassaan, Abdulaziz Mohamed, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters. ACS omega 9 (15) (2024)
Ahmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim
Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling Applications. ACS omega 9 (6) (2024)
Said Hassaan, Abdulaziz Mohamed, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Real-Time Prediction of Petrophysical Properties Using Machine Learning Based on Drilling Parameters. ACS omega 9 (15) (2024)
Ahmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim
Impact of Eco-Friendly Drilling Additives on Foaming Properties for Sustainable Underbalanced Foam Drilling Applications. ACS omega 9 (6) (2024)
Ahmed Abdelaal, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Data-Driven Framework for Real-time Rheological Properties Prediction of Flat Rheology Synthetic Oil-Based Drilling Fluids. ACS omega 8 (16) (2023)
Ahmed Farid Ibrahim, Ashraf Ahmed, Salaheldin Elkatatny
Applications of Different Classification Machine Learning Techniques to Predict Formation Tops and Lithology While Drilling. ACS omega 8 (45) (2023)
Ahmed Abdelaal, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Data-Driven Framework for Real-time Rheological Properties Prediction of Flat Rheology Synthetic Oil-Based Drilling Fluids. ACS omega 8 (16) (2023)
Ahmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim, Muhammad Shahzad Kamal
Impact of Pressure and Temperature on Foam Behavior for Enhanced Underbalanced Drilling Operations. ACS omega 9 (1) (2023)
Ahmed Gowida, Salaheldin Elkatatny, Ahmed Farid Ibrahim, Muhammad Shahzad Kamal
Impact of Pressure and Temperature on Foam Behavior for Enhanced Underbalanced Drilling Operations. ACS omega 9 (1) (2023)
Ahmed Farid Ibrahim, Sulaiman A Alarifi, Salaheldin Elkatatny
Application of Machine Learning to Predict Estimated Ultimate Recovery for Multistage Hydraulically Fractured Wells in Niobrara Shale Formation. Computational intelligence and neuroscience 2022 (2022)
Ahmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulwahab Ali
New Empirical Correlations to Estimate the Least Principal Stresses Using Conventional Logging Data. ACS omega 7 (16) (2022)
Ahmed Farid Ibrahim, Salaheldin Elkatatny, Mustafa Al Ramadan
Prediction of Water Saturation in Tight Gas Sandstone Formation Using Artificial Intelligence. ACS omega 7 (1) (2022)
Ahmed Gowida, Ahmed Farid Ibrahim, Salaheldin Elkatatny, Abdulwahab Ali
Prediction of the Least Principal Stresses Using Drilling Data: A Machine Learning Application. Computational intelligence and neuroscience 2021 (2021)
Ahmed Farid Ibrahim, Redha Al-Dhaif, Salaheldin Elkatatny, Dhafer Al Shehri
Applications of Artificial Intelligence to Predict Oil Rate for High Gas-Oil Ratio and Water-Cut Wells. ACS omega 6 (30) (2021)
Osama Siddig, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs. Computational intelligence and neuroscience 2021 (2021)